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Selected industry news from AIHOT. Follow advances in AI, products and technology.

AIHOT · Selected summaries with original sources · Nov 4, 2026, 9:00 AM

Research · Hugging Face Blog

Meta 发布 CyberSecEval 2:面向大语言模型的网络安全风险综合评测框架 ↗

Meta 发布 CyberSecEval 2,一个开源的 LLM 网络安全风险评测框架,包含五类测试:不安全编码实践生成、提示注入攻击易感性、协助网络攻击请求的合规性、代码解释器滥用倾向、自动化进攻性网络安全能力。所有代码开源,支持社区运行并提交结果至排行榜。

Source-language fallback
AI products · Hugging Face Blog

Hugging Face Spaces Launches Dev Mode ↗

Hugging Face Spaces has introduced the Dev Mode feature, which supports one-click connection to VS Code or SSH for directly editing Space code without requiring git pushes or container rebuilds; this feature is currently in beta and available only to PRO subscribers.

AI products · Hugging Face Blog

Hugging Face and Dell Jointly Launch Dell Enterprise Hub ↗

Hugging Face and Dell jointly launched the Dell Enterprise Hub, offering a one-stop experience for locally training and deploying open-source large language models (such as Llama 3, Mixtral, and Gemma) on Dell hardware.

AI models · DeepSeek 官方更新

DeepSeek-V2-0517 Released: Upgraded Instruction Following and JSON Output Capabilities ↗

The deepseek-chat model has been upgraded to DeepSeek-V2-0517. The IFEval Prompt-Level accuracy increased from 63.9% to 77.6%. Instruction-following capabilities in the system prompt area via API have been optimized, enhancing immersive translation and RAG experiences. The JSON parsing rate increased from 78% to 85%, reaching 97% after introducing regular expressions.

AI models · Hugging Face Blog

Google Releases Open-Source Multimodal Model PaliGemma ↗

Google has released PaliGemma, an open-source vision-language model family consisting of a SigLIP-So400m image encoder and a Gemma-2B text decoder, which is now available on the Hugging Face Hub.

Research · Hugging Face Blog

Hugging Face Releases Open Leaderboard for Hebrew Large Language Models ↗

Hugging Face has released an open leaderboard dedicated to Hebrew large language models, featuring four tasks: Hebrew question answering, sentiment analysis, Winograd coreference resolution, and English-Hebrew translation, all using few-shot prompting formats. The evaluations are based on datasets constructed from HeQ, Hebrew Sentiment, a translated version of Hebrew Winograd, and NeuLabs-TedTalks corpora, executed automatically via Inference Endpoints and lighteval.

Research · Hugging Face Blog

StarCoder2-15B-Instruct-v0.1 Released: The First Fully Transparent and Freely Usable Self-Aligned Code Large Language Model ↗

Hugging Face released StarCoder2-15B-Instruct-v0.1, the first fully self-aligned open-source code large language model. It was fine-tuned using 50k instruction-response pairs generated by StarCoder2-15B itself, achieving a HumanEval score of 72.6, surpassing CodeLlama-70B-Instruct. The entire data generation and training pipeline is open-sourced, supporting free commercial use and redistribution.